{"id":"W2980272132","doi":"10.1002/em.22338","title":"Mutation as a Toxicological Endpoint for Regulatory Decision‐Making","year":2019,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Mutagen; Germline mutation; Mutation; Somatic cell; Point mutation; Biology; Risk assessment; Genetics; Computational biology; Toxicology; Carcinogen; Bioinformatics; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1252865,0.001981278,0.002241543,0.004082221,0.001635067,0.01060775,0.00493609,0.005809559,0.004417969],"category_scores_gemma":[0.0796096,0.0006794319,0.002122837,0.002234785,0.004832034,0.005507657,0.003168473,0.006576877,0.001907626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005550467,"about_ca_system_score_gemma":0.01561488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073553,"about_ca_topic_score_gemma":0.005063517,"domain_scores_codex":[0.9146004,0.05400427,0.003886529,0.003099276,0.02342797,0.000981446],"domain_scores_gemma":[0.9172276,0.04332264,0.009666585,0.007159211,0.02048593,0.002137999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001198747,0.001423218,0.02077757,0.00358731,0.0008109126,0.0006369617,0.00161722,0.1363453,0.03610445,0.4475608,0.04023892,0.3096986],"study_design_scores_gemma":[0.000334548,0.004044828,0.01149469,0.006258172,0.001076397,0.0007666817,0.002416843,0.2082883,0.03775457,0.4901865,0.23649,0.0008884961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04575622,0.01159838,0.7803001,0.0351601,0.003544537,0.002970133,0.001984711,0.001230097,0.1174557],"genre_scores_gemma":[0.4824537,0.004797271,0.4940353,0.008082891,0.0009187714,0.002371008,0.001152491,0.0002195048,0.005969051],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1252865,"threshold_uncertainty_score":0.6625863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003895711030650943,"score_gpt":0.2341814464044724,"score_spread":0.2302857353738214,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}